Evidence map›Paper›PMID 18166673›Full record

ArticleJournal of biomolecular techniques : JBT2007

Electrophoretic techniques applied to the detection and analysis of the human microsatellite DG10s478.

Clara Y Taylor, Isabel A Guillén, Marcelo Nazabal, Julio R Fernández, José A Silva

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of biomolecular techniques : JBT, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Clara Y TaylorGenomics and Diagnostic Division, Center for Genetic Engineering and Biotechnology, PO Box 6162, 10600, Havana, Cuba.
Isabel A Guillén
Marcelo Nazabal
Julio R Fernández
José A Silva
Centro de Ingeniería Genética y Biotecnología · CU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short nucleotide repetitions (STRs) are commonly used as genetic markers; thus their detection and analysis constitutes a very important tool for the mapping of genetic diseases, as well as for gathering information about genetic polymorphisms at the population level. STRs can be detected with agarose- or acrylamide-based electrophoretic techniques, followed by visualization of the DNA sample with ethidium bromide, silver nitrate, or fluorophore labeling. In this work, we analyzed genomic DNA from five individuals affected with type II diabetes mellitus (T2DM) and five controls (unaffected individuals) in order to know the most precise and reproducible technique for the analysis of the existing polymorphism in the STR DG10S478 of the TCF7L2 gene. The combination of PCR with labeling of the products with the CY5 fluorophore, followed by detection on an ALFexpress sequencer, offered the required resolution to detect the variability in this STR, based solely on size analysis. Our methodology offers similar accuracy and reproducibility at lower costs than existing methods based on the sequencing of PCR products, and is a faster alternative when applied to genotyping studies.

Indexed as

Electrophoresis, Polyacrylamide GelAllelesDiabetes Mellitus, Type 2Feasibility StudiesGenetic MarkersGenome, HumanGenotypeHumansMicrosatellite RepeatsPolymorphism, GeneticReverse Transcriptase Polymerase Chain ReactionTCF Transcription FactorsTranscription Factor 7-Like 2 ProteinGenetic MarkersTCF7L2 protein, humanTCF Transcription FactorsTranscription Factor 7-Like 2 Protein

Identifiers

PMID18166673
PMCPMC2392994
OpenAlexW2146800863

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.